Applied Materials, Inc

Manager, Data Scientist

Applied Materials, Inc • $176K — $242K *
Austin, TX 78745In-Person
Information Technology
5 - 7 years of experience
Yesterday
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Artificial Intelligence, or Data Science.
  • Technical expert in Generative AI, Agentic AI, Multi-Agent Architectures, and Enterprise AI Platforms.
  • Deep experience with Large Language Models, RAG, and cloud-native architectures.
  • Strong Python programming and AI development skills.
  • Ability to design scalable, production-ready AI systems.

Responsibilities

  • Lead the design and implementation of Agentic AI solutions for complex business problems.
  • Develop AI agents using modern frameworks for decision-making and automation.
  • Build scalable AI platforms, including agent orchestration and memory management.
  • Collaborate with stakeholders to identify high-value AI applications.
  • Establish best practices for AI engineering, covering governance and model optimization.
  • Architect enterprise AI platforms leveraging Azure AI and modern machine learning technologies.
  • Mentor AI engineers and data scientists, guiding on coding and architecture.

Benefits

  • Flexible work environment with 20% travel requirement.
  • Relocation assistance available for candidates.
  • Participation in a bonus and stock award program may be offered.
  • Comprehensive benefits package including health and wellness programs.
Full Job Description
  • Key Responsibilities
    Lead the architecture, design, and implementation of Agentic AI solutions and Multi-Agent Systems that solve complex business and manufacturing challenges through autonomous reasoning, planning, orchestration, and execution.
    Drive the development of AI agents using modern frameworks (e.g., LangGraph, AutoGen, CrewAI, Semantic Kernel, OpenAI Agents, Azure AI Foundry) to enable decision intelligence, workflow automation, knowledge retrieval, and operational optimization.
    Serve as a hands-on technical leader responsible for building scalable AI platforms, including agent orchestration, memory management, tool integration, Retrieval-Augmented Generation (RAG), knowledge graphs, ontologies, and enterprise AI architectures.
    Lead the development of advanced AI capabilities, including reasoning agents, planning agents, orchestration agents, code-generation agents, analytics agents, and domain-specific copilots that improve business outcomes and operational efficiency.
    Collaborate with business stakeholders, product teams, engineers, data scientists, and subject matter experts to identify high-value AI use cases and translate them into production-grade AI solutions.
    Establish AI engineering best practices covering LLMOps, AI governance, evaluation frameworks, observability, security, safety, prompt engineering, context engineering, model optimization, and continuous improvement.
    Architect and develop enterprise AI platforms leveraging Azure AI, Databricks, Python, vector databases, graph databases, cloud-native technologies, and modern machine learning frameworks.
    Build and optimize agent memory architectures, semantic layers, knowledge repositories, and enterprise ontologies to improve reasoning quality, contextual awareness, and autonomous execution.
    Lead proof-of-concept development, rapid prototyping, and production deployments while ensuring scalability, reliability, maintainability, and measurable business value.
    Mentor and guide AI engineers and data scientists while remaining actively involved in coding, architecture reviews, solution design, model development, and technical problem solving.
    Stay current with emerging advances in Generative AI, Agentic AI, foundation models, reasoning systems, and autonomous agents, driving adoption of innovative technologies across the organization.
    Required Education Background
    Bachelors in one of the following Computer Science, Artificial Intelligence or Data Science
    Functional Knowledge
    • Recognized technical expert in Generative AI, Agentic AI, Multi-Agent Architectures, and Enterprise AI Platforms.
    • Deep expertise in Large Language Models (LLMs), RAG, vector databases, knowledge graphs, AI orchestration frameworks, machine learning, and cloud-native architectures.
    • Strong hands-on software engineering capabilities with Python and modern AI development frameworks.
    • Demonstrated ability to design scalable, production-ready AI systems across multiple technology domains.
    Business Expertise
    • Anticipates emerging AI technology trends and identifies opportunities to create competitive advantages through AI-driven automation and intelligence.
    • Partners with business leaders to define AI strategy, prioritize use cases, and deliver measurable business outcomes through autonomous and intelligent systems.
    • Understands manufacturing, supply chain, engineering, operational, and enterprise business processes and how Agentic AI can transform them.
    Leadership
    • Leads complex AI transformation initiatives from strategy through implementation and production deployment.
    • Drives cross-functional teams delivering enterprise-scale Agentic AI and automation solutions.
    • Influences technical direction, architecture standards, and AI governance across the organization.
    Problem Solving
    • Solves highly complex and ambiguous business and technical problems through innovative application of AI, machine learning, and autonomous agent technologies.
    • Develops novel approaches for reasoning, planning, orchestration, workflow automation, and knowledge-driven decision making.
    • Balances experimentation and innovation with production-grade engineering principles.
    Impact
    • Influences enterprise AI strategy, technology investments, architecture decisions, and adoption of next-generation AI capabilities.
    • Delivers scalable AI solutions that improve productivity, operational performance, decision quality, and business agility.
    • Shapes long-term AI platform roadmaps and standards for the organization.
    Interpersonal Skills
    • Communicates complex AI concepts and architectures effectively to executive leadership, technical teams, and business stakeholders.
    • Drives alignment across diverse organizations and builds consensus around AI strategy and solution approaches.
    • Effectively mentors teams and promotes adoption of AI best practices across the enterprise.
    Preferred Qualifications
    • 7+ years of software engineering, data science, machine learning, or AI experience.
    • 3+ years building production-grade AI/ML solutions using Python.
    • 3+ years developing Generative AI, Agentic AI, Multi-Agent Systems, RAG, Knowledge Graphs, or LLM applications.
    • Experience with Azure AI, Databricks, OpenAI, LangGraph, Semantic Kernel, CrewAI, AutoGen, vector databases, and cloud-native architectures.
    • Demonstrated track record delivering enterprise-scale AI products from concept through production.


Additional Information

Time Type:
Full time

Employee Type:
Assignee / Regular

Travel:
Yes, 20% of the Time

Relocation Eligible:
Yes

The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.

For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.

About Applied Materials, Inc

Applied Materials specialize in materials engineering solutions. They optimize equipment and fab operations through consulting, spare parts, services, and automation software. They also provide supply chain services from transactional spares through programs, rebuilds, and forecasted parts management. Their products and technologies include semiconductors, displays, roll web coating, solar, and automation software.

**Applied Materials, Inc. Careers**

Join the innovative world of Applied Materials, Inc., a leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our global team is driving innovation and growth in the industries we serve. This is where your expertise can make a true impact.

Work You’ll Do

At Applied Materials, Inc., you will be part of a company that prides itself on fostering a culture of innovation, diversity, and professional growth. As a member of our team, you will lead groundbreaking projects at the intersection of technology, leadership, and engineering excellence. We offer a variety of job opportunities that allow you to explore your potential and push the boundaries of what's possible.

Innovate and Lead

Join a team where innovation is at the heart of everything we do. You will work alongside the brightest minds in the industry, utilizing your skills to contribute to projects that are not only exciting but also crucial for technological advancements. Our leadership is committed to providing you with the guidance and support needed to achieve your career goals.

Career Growth and Opportunities

Whether you are looking for an internship, a full-time position, or leadership roles, Applied Materials, Inc. provides an array of career paths to help you achieve your professional aspirations. Our commitment to career growth is evident through extensive training programs and opportunities for advancement.

Diversity and Inclusion

At Applied Materials, Inc., we believe that diversity fuels innovation. We are dedicated to building a diverse team that reflects the global communities we serve. Our diversity training programs are designed to enhance collaboration and foster an inclusive environment where all employees can thrive.

Benefits and Culture

Our employees enjoy a range of benefits that support both their professional and personal lives. From health and wellness programs to competitive retirement plans, we ensure that our team is taken care of. The culture at Applied Materials, Inc. is built on collaboration, respect, and a commitment to excellence.

Join Our Team

Explore the job opportunities at Applied Materials, Inc. and find the position that matches your skills and passions. We are continuously hiring and looking for individuals who are curious, creative, and ready to drive innovation in a dynamic industry.

Stay Connected

Keep up to date with the latest company news, career tips, and industry insights by joining our network. Engage with us on professional networking platforms and stay ahead in your career journey.

Apply Now

Ready to take the next step in your career? Submit your resume, prepare for your interview, and join a team that’s dedicated to materializing the technologies of tomorrow. Discover the impact you can make at Applied Materials, Inc. and help us shape the future.

SEARCH APPLIED MATERIALS JOBS

--- This page for Applied Materials, Inc. Careers incorporates all the requested elements, maintaining the "Company Content Style" with a focus on innovation, career growth, and the dynamic team environment.
Learn more about Applied Materials, Inc
Size
27,000 employees
Market Cap
$80.7 billion
Industry
Manufacturing & Automotive
Net Income
$3.8 billion
Founded
1967
5 Year Trend
+11.9%
Revenue
$18.2 billion
NASDAQ
AMAT
* Ladders Estimates

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